, Jupyter, Weights & Biases). An understanding of Language Models, using and training / fine-tuning and a familiarity...
tracking and reproducibility (Weights & Biases, MLflow) Data Science & ML at Scale: PySpark pipelines, feature selection (PCA...
, PyTorch, etc.). Reproducibility - Best practices for notebooks, code packaging, and experiment tracking (MLflow, Weights... & Biases) MLOps - Experience in Monitoring & Maintenance strategies (Drift detection, retraining strategies);Good...
tracking and reproducibility (Weights & Biases, MLflow) Data Science & ML at Scale: PySpark pipelines, feature selection (PCA...
Tracking: Logging experiments, metrics, and results with MLflow or Weights & Biases. Testing Stack: Unit Testing: Writing...
, Jupyter, Weights & Biases). An understanding of Language Models, using and training / fine-tuning and a familiarity...
, Jupyter, Weights & Biases). An understanding of Language Models, using and training / fine-tuning and a familiarity...
, Jupyter, Weights & Biases). An understanding of Language Models, using and training / fine-tuning and a familiarity...
LLM performance and usage with LangSmith and Weights & Biases. Cost Tracking: Monitoring and optimizing costs...
, Jupyter, Weights & Biases). An understanding of Language Models, using and training / fine-tuning and a familiarity...